Researchers warn of potential perdition—so to speak—for doing algorithmic medicine wrong in any of these easily avoidable ways. 

Epic makes the list with its enterprise inpatient EHR and related platforms. So does PCC, aka Physician’s Computer Company, which supplies pediatric-specific ambulatory EHR and practice-management products and services. 

Do: Use large-language AI to help analyze your specific symptoms. Don’t: Ask a chatbot if you should go to the emergency room.

Agentic large-language models can draft hospital discharge summaries that are safe, useful and demonstrably effective at helping to curb physician burnout, according to research conducted at Stanford University.

When AI fails to thrive in healthcare, the problem is usually not with an algorithm. It’s with something deeper. Three unrelated opinion pieces authored by far-flung subject matter experts hit on this theme just this week. 

The American Hospital Association is working with the West Health Institute throughout the duration of the program, which will give health systems access to a digital platform packed full of resources to support technology upgrades.

Frustratingly to hospital leadership, the upward trajectory in attacks and harms is happening despite healthcare’s striving—and spending—to be more proactive with defensive measures.

Nursing technology leaders at a large health system are reporting time savings of 20.6 minutes per nurse across 12-hour shifts while caring for an average of 4.5 patients each. The secret to their success: automated digital documentation.